AI Research Engineer – LLMs, NLP & Adaptive Planning

About the Project

Our planned 36-month AI R&D project explores reliable AI decision-making, adaptive planning and generalisation across alternative historical scenarios.

This is a research-focused role involving AI experimentation and prototyping, rather than content creation or web development.

Key Responsibilities

• Research and prototype LLM, NLP and AI Planning methods.

• Develop and compare established AI generation, planning and verification baselines.

• Investigate structured representations of natural-language requirements, error detection and validation.

• Explore adaptive replanning, plan repair and multi-turn decision generation.

• Conduct reproducible Python experiments to evaluate reliability, efficiency and generalisation across historical scenarios.

• Document experiments, maintain research code and report findings.

Requirements

• Bachelor's degree or above in Computer Science, AI, Information Engineering or a related discipline.

• Good Python programming, data processing and testing skills.

• Basic understanding of Machine Learning, NLP or LLMs.

• Ability to read English technical papers and work with Traditional Chinese materials.

• Ability to communicate in Cantonese with the project team.

• Analytical thinking and willingness to learn new research methods.

Preferred Qualifications

• Academic or personal projects involving ML, NLP, LLMs or AI Planning.

• Familiarity with model evaluation, RAG, Git, Python testing or reproducible experiments.

How to Apply

Please submit your CV. Relevant project summaries, GitHub repositories or portfolio links are welcome.

Selection will be based on relevant skills and qualifications.

Personal data collected will be used for recruitment purposes only.